International Journal of Research and Innovation in Applied Science (IJRIAS)
Data Mining Meets Blockchain: A Systematic Review of Techniques, Challenges, and Emerging Applications
Published February 1, 2026 • Vol. 11, Issue 1, pp. 520–530Open Access
DOI: 10.51584/IJRIAS.2026.11010044
Abstract
Data mining and blockchain have emerged as two transformative technological paradigms in modern computing. Data mining supports knowledge extraction from large-scale datasets, while blockchain ensures secure, transparent, and immutable data storage. Their integration promises innovative solutions to critical issues such as privacy, trust, scalability, and distributed decision-making. This survey provides an extensive review of core data mining techniques, blockchain fundamentals, and the emerging trend of combining the two fields. It highlights recent advancements, applications, challenges, and future research opportunities in blockchain-driven data analytics and data-mining-enabled blockchain systems.
Keywords: Data Mining, Blockchain, Security, Federated Learning
| Journal | International Journal of Research and Innovation in Applied Science (IJRIAS) |
|---|---|
| ISSN | 2454-6194 |
| Volume / Issue | Volume 11, Issue 1 |
| Pages | 520–530 |
| Publication date | February 1, 2026 |
| DOI | 10.51584/IJRIAS.2026.11010044 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Raja M, & Dr. R. Nagarajan (2026). Data Mining Meets Blockchain: A Systematic Review of Techniques, Challenges, and Emerging Applications. International Journal of Research and Innovation in Applied Science (IJRIAS), 11(1), 520-530. https://doi.org/10.51584/IJRIAS.2026.11010044
BibTeX
@article{Raja2026,
title = {Data Mining Meets Blockchain: A Systematic Review of Techniques, Challenges, and Emerging Applications},
author = {Raja M and Dr. R. Nagarajan},
journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
volume = {11},
number = {1},
pages = {520--530},
year = {2026},
doi = {10.51584/IJRIAS.2026.11010044},
publisher = {RSIS International}
}